tense - Story 147128 | Emotion Vectors in Gemma4-31B

“No, no, no,” he muttered under his breath. The thought had just flickered through his mind: missing the proposal. He hated it. He felt like he was running out of air. He stood up, feeling his body shake with the force of his emotions. He needed to be there.

The fluorescent lights of the airport seemed to pulsate, adding to the feeling of disorientation. He glared at the gate agents, as if they were personally responsible for the delay. He felt his face heat up, and his chest felt tight.

Emotion: tense

Cluster: Fear / Anxiety

PC1 (Valence): -1.32 Negative

PC2 (Disposition): -0.53

Role in Research

This story is one of 1,000 stories generated for the emotion tense. During extraction, it was fed through Gemma4-31B and its hidden state activations were captured at 11 layers.

The mean activation across all 1,000 tense stories, after denoising with neutral dialogue baselines, produces the tense emotion vector -- a direction in the model's 5,376-dimensional representation space.

Logit Lens (Layer 40)

Tokens promoted/suppressed when the tense vector is projected through the unembedding matrix.

Promoted:

`S`	0.213
`😰`	0.191
`느껴`	0.183
`😣`	0.183
`😖`	0.181

Suppressed:

`a`	-0.260
`de`	-0.258
`la`	-0.256
`happy`	-0.218
`B`	-0.198